code: def test_predict(self):
      mean = np.random.randn(8)
      covariance = np.random.randn(8, 8)
      mean, covariance = self.kf.predict(mean, covariance)
      assert len(mean) == 8
      assert covariance.shape == (8, 8)
  
file_path: mmdetection/tests/test_models/test_task_modules/test_track/test_kalman_filter.py
imports: from unittest import TestCase
  import numpy
  from mmengine.registry import init_default_scope
  from mmdet.registry import TASK_UTILS
label_desc: Use image node_id 3 for calling the TestKalmanFilter obj's underlying member method code with example usage: obj.test_predict() without return types